{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import chainer\n",
    "import sklearn\n",
    "import datetime\n",
    "import numpy as np\n",
    "import time\n",
    "import os\n",
    "import librosa\n",
    "import chainer.links as L\n",
    "import chainer.functions as F\n",
    "import matplotlib.pylab as plt\n",
    "import joblib\n",
    "\n",
    "from chainer import training\n",
    "from chainer.training import extensions\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import datasets, model_selection, svm, metrics\n",
    "from chainer import Chain, Variable, optimizer, optimizers, serializers,training\n",
    "from sklearn.datasets.base import get_data_home \n",
    "from sklearn.datasets import fetch_openml\n",
    "from matplotlib import cm\n",
    "from chainer import Sequential\n",
    "from librosa import display\n",
    "from sklearn.model_selection import train_test_split\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class CNN(Chain):\n",
    "    def __init__(self):\n",
    "        # クラスの初期化\n",
    "        super(CNN, self).__init__(            \n",
    "            conv1 = L.Convolution2D(1, 20, 4), # フィルター3　ボケを作ってる、入力、出力\n",
    "            conv2 = L.Convolution2D(20, 30, 3), # フィルター4\n",
    "            conv3 = L.Convolution2D(30, 40, 3),\n",
    "            conv4 = L.Convolution2D(40, 50, 3),\n",
    "            #conv5 = L.Convolution2D(40, 50, 3),\n",
    "            l1 = L.Linear(800, 500),\n",
    "            l2 = L.Linear(500, 500),\n",
    "            l3 = L.Linear(500, 10, initialW=np.zeros((10, 500), dtype=np.float32))\n",
    "        )\n",
    "    #@staticmethod\n",
    "    def __call__(self,x):\n",
    "        # 順伝播の計算を行う関数\n",
    "        # :param x: 入力値\n",
    "        h = F.max_pooling_2d(F.relu(self.conv1(x)), 2)\n",
    "        h = F.max_pooling_2d(F.relu(self.conv2(h)), 2)\n",
    "        h = F.max_pooling_2d(F.relu(self.conv3(h)), 2)\n",
    "        h = F.relu(self.conv4(h))\n",
    "        #h = F.relu(self.conv5(h))\n",
    "        h = F.relu(self.l1(h))\n",
    "        h = F.relu(self.l2(h))\n",
    "        y = self.l3(h)\n",
    "        return y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "(63, 63) 7\n",
      "--- Data loaded. Loading time: 27.14892315864563 seconds ---\n"
     ]
    }
   ],
   "source": [
    "#教師データ（JAPANESE）の読み込み\n",
    "path = 'datasetjp/'\n",
    "lst = []\n",
    "\n",
    "n_mfccs = 63\n",
    "start_time = time.time()\n",
    "#教師データを変換\n",
    "for subdir, dirs, files in os.walk(path):\n",
    "  for file in files :\n",
    "      try:\n",
    "        #Load librosa array, obtain mfcss, store the file and the mcss information in a new array\n",
    "        X, sample_rate = librosa.load(os.path.join(subdir,file), res_type='kaiser_fast')\n",
    "        \n",
    "        mfccs = librosa.feature.mfcc(y=X, sr=sample_rate, n_mfcc=n_mfccs)\n",
    "        \n",
    "        t = len(mfccs.T)\n",
    "        start = int((t - n_mfccs)/2)\n",
    "        end = int((t + n_mfccs)/2)\n",
    "        \n",
    "        mfccs=mfccs[:, start:end]\n",
    "        #print(mfccs)\n",
    "\n",
    "        # The instruction below converts the labels (from 1 to 8) to a series from 0 to 7\n",
    "        # This is because our predictor needs to start from 0 otherwise it will try to predict also 0.\n",
    "        #print(file)\n",
    "        file = int(file[0:1]) - 1 \n",
    "        print(mfccs.shape, file)\n",
    "\n",
    "        mfccs = np.expand_dims(mfccs, axis=0)\n",
    "        arr = mfccs,file\n",
    "        \n",
    "        #print(arr)\n",
    "        lst.append(arr)\n",
    "      # If the file is not valid, skip it\n",
    "      except ValueError:\n",
    "        continue\n",
    "print(\"--- Data loaded. Loading time: %s seconds ---\" % (time.time() - start_time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<chainer.optimizers.adam.Adam at 0x29a5cd1ed68>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#モデルの定義を行う\n",
    "model = L.Classifier(CNN())\n",
    "optimizer = optimizers.Adam()\n",
    "optimizer.setup(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(array([[[-2.1472501e+02, -2.7365063e+02, -2.3791968e+02, ...,\n",
      "         -2.3029922e+02, -2.2193518e+02, -2.1630099e+02],\n",
      "        [ 1.6895428e+02,  1.5832140e+02,  1.5076093e+02, ...,\n",
      "          1.7051556e+02,  1.6370587e+02,  1.5883842e+02],\n",
      "        [-3.0199932e+01, -8.4365149e+00, -1.9896759e+01, ...,\n",
      "         -3.2502087e+01, -4.0952988e+01, -3.4138939e+01],\n",
      "        ...,\n",
      "        [ 5.9527388e+00,  5.0305638e+00,  4.0538521e+00, ...,\n",
      "         -5.2591963e+00, -1.0691929e+01, -8.0395756e+00],\n",
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      "        [  -4.000948 ,   -3.2668943,   -2.7937524, ...,   -0.7034993,\n",
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      "         -4.0896268e+02, -4.4932370e+02, -4.9172833e+02],\n",
      "        [ 1.3926007e+02,  9.1262405e+01,  4.5508499e+01, ...,\n",
      "          1.4496756e+01,  3.7954411e+01,  5.6085510e+01],\n",
      "        [ 1.1373957e+01,  3.9587166e+01,  4.4241184e+01, ...,\n",
      "          5.4123712e+00,  6.2413235e+00,  7.9801345e+00],\n",
      "        ...,\n",
      "        [-1.1787018e+00,  3.0891855e+00,  3.6331797e+00, ...,\n",
      "          5.7699971e+00,  3.2743721e+00, -7.0059955e-02],\n",
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      "         -3.3180237e-01,  1.9748068e+00, -1.8026218e+00],\n",
      "        [-2.6441081e+00, -4.2185316e+00, -2.7778172e+00, ...,\n",
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      "          101.47267  ,   99.96874  ],\n",
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      "           -9.644177 ,  -12.279278 ],\n",
      "        ...,\n",
      "        [   6.161996 ,    1.4859502,    2.671432 , ...,   -1.8756125,\n",
      "            3.140921 ,    1.7139014],\n",
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      "           -1.6160669,   -1.0037899],\n",
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      "        [ 5.3634615e+00, -2.0568228e+00, -1.9001831e+01, ...,\n",
      "          2.2785126e+01,  2.2566193e+01,  1.6582096e+01],\n",
      "        ...,\n",
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      "         -4.4477043e+00, -2.0150137e+00,  3.7323232e+00],\n",
      "        [ 8.2822657e-01,  5.4609261e+00, -7.7042580e-01, ...,\n",
      "         -1.3222392e+00, -2.5167316e-01,  3.3328817e+00],\n",
      "        [-6.7382946e+00, -1.2361553e+00,  3.4156442e+00, ...,\n",
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      "          8.6928040e+01,  8.4695915e+01,  8.2547249e+01],\n",
      "        [-1.0268234e+01, -2.2923626e+01, -2.3109659e+01, ...,\n",
      "         -1.5774059e+01, -2.3209097e+01, -2.5215004e+01],\n",
      "        ...,\n",
      "        [ 1.1059029e+00, -9.2692769e-01,  1.2949721e+00, ...,\n",
      "          1.6866194e-01,  2.7325220e+00,  1.0158510e+00],\n",
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      "         -1.6204617e+00,  9.4938278e-04,  2.1747894e+00],\n",
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      "        [ 1.0248981e+02,  8.0983521e+01,  9.3839142e+01, ...,\n",
      "          8.3591019e+01,  9.1929214e+01,  9.2090790e+01],\n",
      "        [ 2.3169430e+01,  3.1957806e+01,  2.1748837e+01, ...,\n",
      "          2.5098715e+01,  1.8645647e+01,  2.1557476e+01],\n",
      "        ...,\n",
      "        [-5.9504032e-01,  3.8051872e+00,  4.3185406e+00, ...,\n",
      "         -3.8402026e+00, -1.1693897e+00,  6.2830877e-01],\n",
      "        [-3.4843278e+00,  5.0163937e-01, -1.3833468e+00, ...,\n",
      "          5.0459111e-01,  2.1027446e+00,  3.0094099e+00],\n",
      "        [-4.1349339e+00, -9.3850040e-01, -5.8277559e+00, ...,\n",
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      "          8.4323196e+01,  8.1548874e+01,  8.8797363e+01],\n",
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      "          2.4867580e+01,  3.1194006e+01,  2.5055199e+01],\n",
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      "         -3.0005813e+00, -3.4593406e+00, -3.5709283e+00],\n",
      "        [ 3.1754613e-01, -2.1712742e+00,  1.5775642e+00, ...,\n",
      "         -3.4347949e+00, -3.1602025e+00, -4.0235510e+00],\n",
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      "          5.8400440e+01,  5.8238350e+01,  6.2020416e+01],\n",
      "        [ 4.1215561e+01,  2.3052580e+01,  3.5371580e+00, ...,\n",
      "          1.3905165e+00,  2.8594000e+00,  6.2985926e+00],\n",
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      "          7.8578115e-01, -3.2517028e-01,  1.1580429e+00],\n",
      "        [ 1.4184668e+00, -1.9723134e+00, -1.5402460e-01, ...,\n",
      "          3.3774047e+00,  1.3104534e-01, -2.2038488e+00],\n",
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      "        [ 1.5215913e+02,  1.4681793e+02,  1.4554927e+02, ...,\n",
      "          2.8531563e+01,  4.6411938e+01,  6.6576927e+01],\n",
      "        [-1.8320427e+01, -2.5003363e+01, -1.1822963e+01, ...,\n",
      "          1.4239539e+01,  2.1144392e+01,  2.7786726e+01],\n",
      "        ...,\n",
      "        [ 1.0305017e+00,  8.8228238e-01,  2.8142669e+00, ...,\n",
      "          1.4737000e+00,  6.8233538e-01,  1.4779334e+00],\n",
      "        [-2.6040425e+00, -3.6740513e+00, -1.2419498e+00, ...,\n",
      "         -1.2768834e+00, -2.3482671e+00, -2.7742431e+00],\n",
      "        [-6.9902868e+00, -8.2878036e+00, -4.1491442e+00, ...,\n",
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      "        [ 1.4332828e+02,  1.4838043e+02,  1.4192670e+02, ...,\n",
      "          8.3888374e+01,  8.8876144e+01,  9.0797684e+01],\n",
      "        [-2.9878597e+00, -1.4073240e+00, -1.6053625e+01, ...,\n",
      "         -3.6808131e+00,  4.2423806e+00,  9.4900875e+00],\n",
      "        ...,\n",
      "        [-1.2139947e+00,  1.8577940e+00,  5.3037286e+00, ...,\n",
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      "        [-1.3639269e+00, -3.0295856e+00, -5.4809055e+00, ...,\n",
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      "        [-5.7260113e+00, -6.5492339e+00, -9.3461399e+00, ...,\n",
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      "           -5.6044426 ,   -2.7618718 ,   -1.3479829 ],\n",
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      "          3.5518188e+01,  3.8376873e+01,  3.8173477e+01],\n",
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      "        ...,\n",
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      "        ...,\n",
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      "        ...,\n",
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      "           17.616581 ,   21.596394 ],\n",
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      "         -6.6772938e+00, -5.4370947e+00, -4.9950948e+00],\n",
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      "          1.0901439e+00,  2.9722688e+00, -8.3732188e-01],\n",
      "        [ 7.7286558e+00,  3.8475285e+00, -5.2320871e+00, ...,\n",
      "          3.1723185e+00,  3.6951456e+00,  8.3976769e-01],\n",
      "        [ 8.4946823e+00,  6.9833364e+00, -7.5845242e-02, ...,\n",
      "         -1.3667643e-02, -5.3292787e-01, -1.1963973e+00]]], dtype=float32), 6), (array([[[-3.8010248e+02, -3.5482425e+02, -3.2768839e+02, ...,\n",
      "         -5.5100879e+02, -5.5596777e+02, -5.7364673e+02],\n",
      "        [ 1.5496265e+02,  1.5463513e+02,  1.5397061e+02, ...,\n",
      "          9.2327766e+01,  9.1338181e+01,  9.2586639e+01],\n",
      "        [ 1.1679289e+01, -6.2072077e+00, -2.9163349e+01, ...,\n",
      "          3.2028614e+01,  2.6423077e+01,  2.2861176e+01],\n",
      "        ...,\n",
      "        [ 2.0492775e+01,  2.7197351e+01,  2.3969364e+01, ...,\n",
      "          2.3060050e+00,  1.6727853e+00, -2.2392862e+00],\n",
      "        [ 1.6335663e+01,  1.7496883e+01,  1.7818283e+01, ...,\n",
      "          3.9023995e-01,  2.9011798e+00,  4.1188159e+00],\n",
      "        [ 1.3888836e+01,  1.4458979e+01,  1.8426155e+01, ...,\n",
      "         -9.8719406e-01, -2.0976099e-01,  4.3283999e-01]]], dtype=float32), 6), (array([[[-3.5211844e+02, -3.4426520e+02, -3.2532962e+02, ...,\n",
      "         -5.1571948e+02, -5.3438983e+02, -5.5345856e+02],\n",
      "        [ 7.1082199e+01,  2.0582230e+01,  2.0482220e+01, ...,\n",
      "          7.2190338e+01,  8.5302162e+01,  9.1808899e+01],\n",
      "        [ 5.2629219e+01,  3.8697525e+01,  2.9867201e+01, ...,\n",
      "          1.6597162e+01,  1.9710880e+01,  2.5750980e+01],\n",
      "        ...,\n",
      "        [-1.3966990e-01, -4.3521280e+00, -4.6308661e+00, ...,\n",
      "         -3.9807072e+00, -8.7876111e-01,  4.1913447e-01],\n",
      "        [ 1.5194423e+00,  3.7783217e-01, -2.1409116e+00, ...,\n",
      "         -3.3542936e+00,  2.4942937e-01,  3.3896551e+00],\n",
      "        [ 7.0388794e+00,  4.7862258e+00,  1.0426929e+00, ...,\n",
      "         -8.5087776e-01,  2.2545247e+00,  1.6278286e+00]]], dtype=float32), 6), (array([[[-3.1835669e+02, -3.1595737e+02, -3.1023706e+02, ...,\n",
      "         -4.6829095e+02, -4.9759531e+02, -5.2680627e+02],\n",
      "        [ 4.0307106e+01,  1.3585573e+01,  3.3259918e+01, ...,\n",
      "          4.2307507e+01,  6.4174782e+01,  8.2805328e+01],\n",
      "        [ 5.5652252e+01,  3.6349579e+01,  1.7153053e+01, ...,\n",
      "          6.5338631e+00,  1.0827324e+01,  1.3827421e+01],\n",
      "        ...,\n",
      "        [ 6.9615550e+00,  7.9403520e+00,  1.2748914e+00, ...,\n",
      "          3.9141188e+00, -3.4656930e-01, -1.6926924e+00],\n",
      "        [ 2.3203213e+00,  2.1577320e+00, -5.4975991e+00, ...,\n",
      "          2.5255234e+00,  1.8094196e+00, -3.8591671e-01],\n",
      "        [-1.1013708e+00, -1.2625434e+00, -1.8221288e+00, ...,\n",
      "         -1.0034516e+00,  2.1574559e+00, -6.1225891e-03]]], dtype=float32), 6), (array([[[-3.4685547e+02, -3.1957138e+02, -2.9990512e+02, ...,\n",
      "         -5.5536298e+02, -5.5267523e+02, -5.5566168e+02],\n",
      "        [ 1.7381645e+02,  1.6648523e+02,  1.6051157e+02, ...,\n",
      "          1.0066957e+02,  9.8343597e+01,  1.0054591e+02],\n",
      "        [ 1.5617468e+00, -2.7892775e+01, -3.8493500e+01, ...,\n",
      "          1.7750029e+01,  1.4427019e+01,  1.6963245e+01],\n",
      "        ...,\n",
      "        [-2.5784865e-01,  5.3292093e+00,  7.5298815e+00, ...,\n",
      "         -4.3895054e+00, -6.2530785e+00, -4.6960793e+00],\n",
      "        [-2.5841165e+00,  1.4173375e+00,  3.8900764e+00, ...,\n",
      "         -1.0693628e+00, -1.1549560e+00, -2.7683985e+00],\n",
      "        [-3.2007961e+00,  9.0307140e-01,  3.8324606e-01, ...,\n",
      "         -1.5551944e+00,  2.1030939e-01,  6.3830423e-01]]], dtype=float32), 6), (array([[[-3.27561371e+02, -3.64650604e+02, -3.79837311e+02, ...,\n",
      "         -5.64118225e+02, -5.70083801e+02, -5.76474731e+02],\n",
      "        [ 1.27496788e+02,  1.41276230e+02,  1.42249420e+02, ...,\n",
      "          1.00135155e+02,  9.66575928e+01,  9.47208252e+01],\n",
      "        [ 4.36362228e+01,  3.65065994e+01,  2.44954433e+01, ...,\n",
      "          1.89999847e+01,  2.05902615e+01,  2.29364071e+01],\n",
      "        ...,\n",
      "        [-5.61824739e-01,  1.02280569e+00, -7.91343689e-01, ...,\n",
      "         -5.83617449e+00, -3.61080980e+00, -2.84154344e+00],\n",
      "        [-4.16150856e+00, -4.16055888e-01,  1.05065703e-01, ...,\n",
      "         -2.22263813e+00, -1.50736976e+00, -3.72669697e-02],\n",
      "        [ 2.87760210e+00,  2.78779221e+00,  4.07670784e+00, ...,\n",
      "          2.37137032e+00,  2.82379460e+00, -2.46740150e+00]]],\n",
      "      dtype=float32), 6), (array([[[-385.85492  , -416.52197  , -402.73965  , ..., -567.42487  ,\n",
      "         -571.8913   , -568.928    ],\n",
      "        [ 145.4473   ,  151.24638  ,  165.44446  , ...,   99.77594  ,\n",
      "           96.69493  ,   99.076935 ],\n",
      "        [  37.952305 ,   39.016003 ,   28.742329 , ...,   17.598259 ,\n",
      "           22.148489 ,   22.085365 ],\n",
      "        ...,\n",
      "        [   5.5584393,    6.488118 ,   -1.0839112, ...,   -2.3887482,\n",
      "           -2.424142 ,   -1.4226708],\n",
      "        [   0.8556217,   -1.2888533,   -3.1067252, ...,    1.2524627,\n",
      "           -0.6394124,   -1.9767542],\n",
      "        [  -1.0028625,   -1.9745635,   -1.4819076, ...,   -2.7411828,\n",
      "           -3.3400736,   -4.80344  ]]], dtype=float32), 6), (array([[[-3.2710849e+02, -3.1767825e+02, -3.2132635e+02, ...,\n",
      "         -4.0036157e+02, -4.0766629e+02, -4.1740359e+02],\n",
      "        [ 9.9829147e+01,  4.4786415e+01,  1.4486450e+01, ...,\n",
      "         -2.6303353e+00,  1.4554842e+01,  2.3835676e+01],\n",
      "        [ 6.2448563e+01,  6.4807037e+01,  3.8451492e+01, ...,\n",
      "          2.6093184e+01,  1.7552691e+01,  1.3817633e+01],\n",
      "        ...,\n",
      "        [ 7.6038322e+00,  3.9654379e+00,  1.8004729e+00, ...,\n",
      "         -1.2782788e+00,  9.3222857e-02, -2.6306503e+00],\n",
      "        [ 8.0926256e+00,  5.8439188e+00,  5.0125175e+00, ...,\n",
      "         -3.8881929e+00, -3.2301068e+00, -2.5145416e+00],\n",
      "        [ 5.3416920e+00,  3.9497395e+00,  3.3717856e+00, ...,\n",
      "         -2.8338890e+00,  1.0330625e+00,  1.5138731e+00]]], dtype=float32), 6), (array([[[-302.56143  , -286.36765  , -303.3217   , ..., -346.05292  ,\n",
      "         -361.09595  , -380.54834  ],\n",
      "        [ 158.62589  ,  170.57834  ,  175.23592  , ...,   -6.3117623,\n",
      "            8.366902 ,   19.478735 ],\n",
      "        [ -22.734009 ,  -23.05867  ,  -13.016622 , ...,   27.62962  ,\n",
      "           22.035095 ,   18.55328  ],\n",
      "        ...,\n",
      "        [  -5.1355276,   -5.529933 ,   -6.488995 , ...,   -1.5984344,\n",
      "            1.0292109,   -1.1622233],\n",
      "        [   1.3005365,   -1.936447 ,   -3.5962408, ...,    1.0317432,\n",
      "            3.3574774,   -1.0611236],\n",
      "        [   4.3984118,    2.7781081,    4.472045 , ...,   -6.1612544,\n",
      "           -3.4863513,   -3.1370273]]], dtype=float32), 7), (array([[[-2.8387991e+02, -2.9810361e+02, -2.8656396e+02, ...,\n",
      "         -5.4036554e+02, -5.4132330e+02, -5.3613788e+02],\n",
      "        [ 4.4297676e+01,  8.6747046e+00,  3.6032719e+01, ...,\n",
      "          9.0599564e+01,  8.8252380e+01,  9.2789452e+01],\n",
      "        [ 5.3344532e+01,  4.6659134e+01,  3.8361385e+01, ...,\n",
      "          1.2313667e+01,  1.2061676e+01,  1.3397044e+01],\n",
      "        ...,\n",
      "        [-1.1402521e+00, -3.6013293e-01,  4.2094288e+00, ...,\n",
      "         -4.1811311e-01,  1.1776801e+00,  1.6664348e+00],\n",
      "        [-4.9744530e+00, -4.3007698e+00,  5.4242086e-01, ...,\n",
      "          4.2090483e+00,  4.0460691e+00,  3.6317677e+00],\n",
      "        [-2.4698219e+00, -2.5238204e+00, -2.0255787e+00, ...,\n",
      "          3.5202062e+00,  3.3440948e+00,  5.9921950e-01]]], dtype=float32), 7), (array([[[-2.7737894e+02, -2.8253336e+02, -2.8108865e+02, ...,\n",
      "         -5.1550952e+02, -5.3364178e+02, -5.4475024e+02],\n",
      "        [ 9.6419121e+01,  4.3448784e+01,  3.2209549e+01, ...,\n",
      "          8.5977081e+01,  9.1450897e+01,  9.2998703e+01],\n",
      "        [ 5.8118694e+01,  6.3152359e+01,  3.7430130e+01, ...,\n",
      "          1.3968231e+01,  1.6731020e+01,  1.6697323e+01],\n",
      "        ...,\n",
      "        [ 7.5016375e+00,  3.8864307e+00,  5.7458091e-01, ...,\n",
      "          1.0677948e+00, -1.7182231e+00, -5.6771545e+00],\n",
      "        [ 1.0853809e+00, -1.6622665e+00, -1.3140666e+00, ...,\n",
      "          1.4369857e+00, -4.1453230e-01, -1.9800245e+00],\n",
      "        [-7.0567064e+00, -1.2250124e+01, -1.0164063e+01, ...,\n",
      "          1.4484193e+00,  4.5909910e+00,  4.4736748e+00]]], dtype=float32), 7), (array([[[-2.9118594e+02, -3.2497699e+02, -3.3187686e+02, ...,\n",
      "         -3.2312708e+02, -3.2802527e+02, -3.3618015e+02],\n",
      "        [ 1.4803668e+02,  1.7437103e+02,  1.8104477e+02, ...,\n",
      "         -1.8008167e+01, -1.8984825e+01, -1.7709530e+01],\n",
      "        [ 1.8194607e+01,  9.4698153e+00,  1.1195522e+01, ...,\n",
      "          4.9517395e+01,  4.5129337e+01,  4.4487324e+01],\n",
      "        ...,\n",
      "        [-2.0837889e+00,  8.3554924e-01, -5.7646646e+00, ...,\n",
      "         -3.0741820e+00, -2.3253415e+00, -3.3482471e+00],\n",
      "        [-7.8010291e-01, -1.8544736e+00, -2.3960271e+00, ...,\n",
      "         -9.0153503e-01, -4.2820215e-01, -2.1130056e+00],\n",
      "        [-2.2947388e+00, -4.6170654e+00, -2.8888881e+00, ...,\n",
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      "         -5.5618646e+02, -5.5923291e+02, -5.5686298e+02],\n",
      "        [ 1.8540005e+01,  2.4298971e+01,  9.3205238e+01, ...,\n",
      "          9.5412918e+01,  9.3040352e+01,  9.2621292e+01],\n",
      "        [ 4.8802292e+01,  3.7626945e+01,  4.0424068e+01, ...,\n",
      "          2.3046230e+01,  1.9417221e+01,  2.0831171e+01],\n",
      "        ...,\n",
      "        [-2.7852664e+00, -6.1836596e+00, -4.7113342e+00, ...,\n",
      "         -4.0915742e+00, -8.0488272e+00, -9.2974005e+00],\n",
      "        [ 6.2474966e+00,  5.0060015e+00,  2.0634041e+00, ...,\n",
      "         -4.6881042e+00, -8.6549454e+00, -6.6344204e+00],\n",
      "        [-4.3395507e-01,  4.3561012e-02, -1.6146133e+00, ...,\n",
      "          3.6596391e-01, -2.4656448e+00, -4.6031094e+00]]], dtype=float32), 7), (array([[[-2.8311942e+02, -2.7869385e+02, -2.7795032e+02, ...,\n",
      "         -5.3539978e+02, -5.4478082e+02, -5.5303540e+02],\n",
      "        [ 1.5050647e+02,  1.2415472e+02,  8.8117676e+01, ...,\n",
      "          9.8965881e+01,  1.0065521e+02,  9.9599991e+01],\n",
      "        [-2.4185360e+01, -8.0759506e+00,  2.7407242e+01, ...,\n",
      "          6.9128847e+00,  1.5420390e+01,  2.2601078e+01],\n",
      "        ...,\n",
      "        [-1.5311966e+00,  5.2803507e+00,  1.9558973e+00, ...,\n",
      "         -2.7573781e+00, -9.4378376e-01, -3.4056187e-01],\n",
      "        [ 5.4535170e+00,  9.0740051e+00,  4.2208495e+00, ...,\n",
      "         -2.4664145e+00, -4.2799902e+00, -2.2975683e+00],\n",
      "        [ 1.9398172e+00,  5.6856670e+00,  6.3386269e+00, ...,\n",
      "         -1.5312009e+00, -3.2458980e+00, -2.1228392e+00]]], dtype=float32), 7), (array([[[-3.0887790e+02, -3.5595920e+02, -3.6393658e+02, ...,\n",
      "         -5.4843945e+02, -5.4268353e+02, -5.3909363e+02],\n",
      "        [ 1.2797113e+02,  1.4171194e+02,  1.5085321e+02, ...,\n",
      "          9.3506531e+01,  8.9897507e+01,  8.8277039e+01],\n",
      "        [ 2.6321880e+01,  3.0688217e+01,  2.2750614e+01, ...,\n",
      "          1.9802292e+01,  1.7239113e+01,  1.7638927e+01],\n",
      "        ...,\n",
      "        [ 7.8381556e-01, -3.4425435e+00, -4.6774607e+00, ...,\n",
      "         -1.1052299e+00, -3.7619870e+00, -4.4385095e+00],\n",
      "        [ 7.0078951e-01, -3.2522831e+00, -6.9929743e-01, ...,\n",
      "          1.2394414e+00, -3.0427608e+00, -2.5586061e+00],\n",
      "        [ 1.2334989e+00, -2.9009023e+00, -9.9586356e-01, ...,\n",
      "         -6.5220189e-01, -2.7785444e-01,  1.4016082e+00]]], dtype=float32), 7), (array([[[-2.5999841e+02, -2.8046323e+02, -3.0176041e+02, ...,\n",
      "         -4.3402682e+02, -4.6984979e+02, -5.1097897e+02],\n",
      "        [ 1.5377646e+02,  1.6270390e+02,  1.5711061e+02, ...,\n",
      "          4.4925102e+01,  6.1436302e+01,  7.2892731e+01],\n",
      "        [-6.2407560e+00, -9.3072462e+00, -4.5332508e+00, ...,\n",
      "          1.9440376e+01,  2.1556480e+01,  1.7989071e+01],\n",
      "        ...,\n",
      "        [-7.0871668e+00, -5.3668556e+00,  4.2700124e-01, ...,\n",
      "          5.7271194e-01,  3.8057518e-01,  1.6735220e+00],\n",
      "        [-6.3617754e-01, -2.2223716e+00,  6.0469079e-01, ...,\n",
      "          7.5838578e-01, -1.0767429e+00, -1.2138340e+00],\n",
      "        [ 5.7771807e+00,  4.4964447e+00,  6.0794926e-01, ...,\n",
      "         -5.9369695e-01, -1.1846620e+00, -6.6327333e-01]]], dtype=float32), 7), (array([[[-2.5720776e+02, -2.5459853e+02, -2.6936047e+02, ...,\n",
      "         -3.8562851e+02, -4.1947192e+02, -4.4982169e+02],\n",
      "        [ 1.0339981e+02,  6.4298668e+01,  2.8581915e+01, ...,\n",
      "          6.9727066e+01,  7.5691223e+01,  7.7207520e+01],\n",
      "        [ 3.9056488e+01,  5.5688972e+01,  4.9456726e+01, ...,\n",
      "         -3.7567200e+01, -3.1711815e+01, -2.6753025e+01],\n",
      "        ...,\n",
      "        [-3.0679421e+00, -7.8196090e-01, -3.3790383e+00, ...,\n",
      "         -3.4124765e+00, -4.4985046e+00, -5.2482748e+00],\n",
      "        [ 2.0995736e+00,  1.5290011e+00,  4.0280831e-01, ...,\n",
      "         -4.1377821e+00, -8.9661293e+00, -8.0519905e+00],\n",
      "        [-4.8552203e+00, -6.4727669e+00, -3.4764276e+00, ...,\n",
      "          1.0376468e+00, -4.4660559e+00, -5.1682458e+00]]], dtype=float32), 7), (array([[[-2.7775485e+02, -2.8466183e+02, -2.9879446e+02, ...,\n",
      "         -4.6208301e+02, -4.7327444e+02, -5.0007407e+02],\n",
      "        [ 8.9652870e+01,  4.6703583e+01,  2.4737503e+01, ...,\n",
      "          8.4158646e+01,  7.8707588e+01,  7.2101105e+01],\n",
      "        [ 5.6547417e+01,  5.4604458e+01,  4.4286285e+01, ...,\n",
      "         -2.7863007e+00,  2.2820213e+00,  1.5877658e+01],\n",
      "        ...,\n",
      "        [-2.8527391e+00, -3.6450098e+00, -3.2225211e+00, ...,\n",
      "         -2.3807194e+00, -6.4810376e+00, -4.3083243e+00],\n",
      "        [-7.9760486e-01,  1.1326380e+00, -2.2817307e+00, ...,\n",
      "         -2.1297812e-02, -4.3470259e+00, -5.2711897e+00],\n",
      "        [-9.1120410e-01, -3.9219320e-02, -1.0781276e+00, ...,\n",
      "          1.4111098e+00,  1.6193550e+00, -6.5516686e-01]]], dtype=float32), 7)]\n"
     ]
    }
   ],
   "source": [
    "print(lst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train\n",
      "epoch       main/loss   validation/main/loss  main/accuracy  validation/main/accuracy  elapsed_time\n",
      "1           2.12964     1.86274               0.16           0.232727                  4.03554       \n",
      "2           1.66092     1.66096               0.365714       0.351818                  8.17172       \n",
      "3           1.33879     1.50281               0.505714       0.444848                  13.3744       \n",
      "4           1.11143     1.36705               0.616667       0.489394                  18.1653       \n",
      "5           0.831374    1.19701               0.685714       0.573939                  23.7858       \n",
      "6           0.628577    1.15381               0.771429       0.618788                  29.1345       \n",
      "7           0.363391    1.16765               0.88           0.648182                  35.09         \n",
      "8           0.328563    1.12903               0.9            0.628182                  39.9415       \n",
      "9           0.206026    1.09903               0.931429       0.665152                  45.4947       \n",
      "10          0.102798    1.30844               0.977143       0.663333                  51.5261       \n",
      "11          0.0543038   1.26744               0.983333       0.675758                  57.2275       \n",
      "12          0.0445429   1.40349               0.985714       0.676667                  63.5644       \n",
      "13          0.0801639   1.3186                0.974286       0.708182                  71.1045       \n",
      "14          0.0784307   1.3387                0.977143       0.624545                  77.7509       \n",
      "15          0.0756758   1.08497               0.983333       0.705152                  83.6556       \n",
      "16          0.0214176   1.24759               1              0.714848                  90.2934       \n",
      "17          0.0287787   1.00096               0.991429       0.71                      96.8578       \n",
      "18          0.0304591   1.33183               0.996667       0.661515                  102.713       \n",
      "19          0.0646818   1.10471               0.977143       0.738485                  108.815       \n",
      "20          0.124973    1.08754               0.948571       0.685455                  115.2         \n",
      "21          0.0699625   1.21196               0.98           0.691818                  121.355       \n",
      "22          0.076994    1.30762               0.97           0.67303                   126.744       \n",
      "23          0.083032    1.0696                0.98           0.698485                  133.448       \n",
      "24          0.0606624   1.05143               0.982857       0.732727                  139.669       \n",
      "25          0.0495411   1.09373               0.99           0.723333                  145.158       \n",
      "26          0.0196507   1.33871               0.997143       0.711818                  151.607       \n",
      "27          0.0288188   1.93597               0.988571       0.59697                   158.267       \n",
      "28          0.0395925   1.76326               0.988571       0.628182                  165.447       \n",
      "29          0.00783162  1.46019               0.996667       0.663333                  170.957       \n",
      "30          0.00666889  1.36331               1              0.669091                  177.203       \n",
      "31          0.00198691  1.23209               1              0.731818                  183.976       \n",
      "32          0.00102451  1.34004               1              0.712727                  190.314       \n",
      "33          0.000660383  1.32268               1              0.717576                  196.514       \n",
      "34          0.000328242  1.28538               1              0.704242                  202.656       \n",
      "35          0.00021807  1.29264               1              0.704242                  209.108       \n",
      "36          0.000157976  1.31804               1              0.704242                  215.255       \n",
      "37          0.000120713  1.33688               1              0.704242                  221.483       \n",
      "38          0.000106583  1.34597               1              0.710909                  227.9         \n",
      "39          8.38552e-05  1.36938               1              0.717576                  234.33        \n",
      "40          7.29783e-05  1.38832               1              0.725152                  240.8         \n",
      "41          7.13049e-05  1.41357               1              0.718485                  247.649       \n",
      "42          5.46919e-05  1.41501               1              0.711818                  254.191       \n",
      "43          4.74501e-05  1.4216                1              0.711818                  260.333       \n",
      "44          4.20611e-05  1.44055               1              0.711818                  266.712       \n",
      "45          3.98323e-05  1.46717               1              0.711818                  273.249       \n",
      "46          3.19045e-05  1.47472               1              0.718485                  280.528       \n",
      "47          2.91824e-05  1.48358               1              0.725152                  285.996       \n",
      "48          2.59181e-05  1.50417               1              0.725152                  294.509       \n",
      "49          2.38364e-05  1.51859               1              0.718485                  302.043       \n",
      "50          1.88589e-05  1.53441               1              0.718485                  308.447       \n",
      "51          1.80258e-05  1.54608               1              0.718485                  316.002       \n",
      "52          1.53024e-05  1.55953               1              0.718485                  324.001       \n",
      "53          1.42656e-05  1.57358               1              0.718485                  332.312       \n",
      "54          1.37758e-05  1.58121               1              0.711818                  338.28        \n",
      "55          1.1034e-05  1.59536               1              0.711818                  344.474       \n",
      "56          1.14032e-05  1.60567               1              0.711818                  351.507       \n",
      "57          9.24928e-06  1.61334               1              0.711818                  358.645       \n",
      "58          9.55423e-06  1.62369               1              0.711818                  365.643       \n",
      "59          8.29697e-06  1.63196               1              0.719394                  373.173       \n",
      "60          8.03947e-06  1.63985               1              0.719394                  379.119       \n",
      "61          7.51177e-06  1.64385               1              0.719394                  383.882       \n",
      "62          6.77245e-06  1.64719               1              0.719394                  389.607       \n",
      "63          6.7343e-06  1.65209               1              0.719394                  395.565       \n",
      "64          5.68117e-06  1.6613                1              0.719394                  401.36        \n",
      "65          5.90483e-06  1.66696               1              0.719394                  406.889       \n",
      "66          5.23567e-06  1.66875               1              0.719394                  412.844       \n",
      "67          5.52859e-06  1.66921               1              0.719394                  418.695       \n",
      "68          4.61419e-06  1.67073               1              0.712727                  424.563       \n",
      "69          4.42914e-06  1.67273               1              0.712727                  431.473       \n",
      "70          4.31878e-06  1.67712               1              0.719394                  438.403       \n",
      "71          4.31878e-06  1.68402               1              0.726061                  445.583       \n",
      "72          3.74476e-06  1.68158               1              0.732727                  452.034       \n",
      "73          3.70707e-06  1.68575               1              0.732727                  459.081       \n",
      "74          3.69208e-06  1.69097               1              0.732727                  465.322       \n",
      "75          3.3776e-06  1.69411               1              0.732727                  471.179       \n",
      "76          3.25884e-06  1.70187               1              0.732727                  476.965       \n",
      "77          2.99181e-06  1.70631               1              0.732727                  483.598       \n",
      "78          3.22206e-06  1.70983               1              0.726061                  489.749       \n",
      "79          2.89758e-06  1.713                 1              0.726061                  495.261       \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "80          2.79699e-06  1.71466               1              0.719394                  501.668       \n",
      "81          2.64304e-06  1.72134               1              0.726061                  507.464       \n",
      "82          2.62533e-06  1.72719               1              0.726061                  513.754       \n",
      "83          2.51611e-06  1.73205               1              0.726061                  519.379       \n",
      "84          2.46729e-06  1.73261               1              0.726061                  525.326       \n",
      "85          2.4019e-06  1.73644               1              0.719394                  532.154       \n",
      "86          2.12193e-06  1.73824               1              0.719394                  537.682       \n",
      "87          2.1771e-06  1.74365               1              0.719394                  544.326       \n",
      "88          2.12261e-06  1.75028               1              0.711818                  550.996       \n",
      "89          2.0068e-06  1.7535                1              0.719394                  556.753       \n",
      "90          2.14577e-06  1.75514               1              0.726061                  562.435       \n",
      "91          1.79291e-06  1.75963               1              0.719394                  568.84        \n",
      "92          1.95776e-06  1.7627                1              0.726061                  575.009       \n",
      "93          1.7945e-06  1.7664                1              0.718485                  580.764       \n",
      "94          1.76702e-06  1.76782               1              0.726061                  587.109       \n",
      "95          1.72343e-06  1.76908               1              0.718485                  593.146       \n",
      "96          1.63487e-06  1.77359               1              0.718485                  599.449       \n",
      "97          1.75953e-06  1.77499               1              0.711818                  604.69        \n",
      "98          1.55449e-06  1.77706               1              0.718485                  611.196       \n",
      "99          1.58174e-06  1.77841               1              0.718485                  617.665       \n",
      "100         1.47343e-06  1.78264               1              0.718485                  623.594       \n",
      "Finished Learning!!\n"
     ]
    }
   ],
   "source": [
    "#学習（epocとbatchsizeの設定）\n",
    "n_epoch = 100\n",
    "n_batchsize = 50#100\n",
    "\n",
    "# 学習開始する\n",
    "print(\"Train\")\n",
    "train, test = chainer.datasets.split_dataset_random(lst, int(len(lst)*0.7)) # 1440(データセットの個数)-432=1008件を学習用、432件をテスト用\n",
    "\n",
    "train_iter = chainer.iterators.SerialIterator(train, n_batchsize)\n",
    "test_iter = chainer.iterators.SerialIterator(test, n_batchsize, repeat=False, shuffle=False)\n",
    "updater = training.StandardUpdater(train_iter, optimizer, device=-1)\n",
    "trainer = training.Trainer(updater, (n_epoch, \"epoch\"))\n",
    "\n",
    "trainer.extend(extensions.Evaluator(test_iter, model, device=-1))\n",
    "trainer.extend(extensions.LogReport())\n",
    "trainer.extend(extensions.PrintReport( [\"epoch\", \"main/loss\", \"validation/main/loss\", \"main/accuracy\", \"validation/main/accuracy\", \"elapsed_time\"])) # エポック、学習損失、テスト損失、学習正解率、テスト正解率、経過時間\n",
    "#trainer.extend(extensions.ProgressBar()) # プログレスバー出力\n",
    "trainer.run()\n",
    "\n",
    "print(\"Finished Learning!!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "71.52777777777777 %\n"
     ]
    }
   ],
   "source": [
    "def predict(model, x):\n",
    "    y = np.argmax(model.predictor(x=np.array([x], dtype=\"float32\")).data)\n",
    "    return y\n",
    "\n",
    "turu_total=0\n",
    "predict_total=0\n",
    "#idx = np.random.choice(test, test)\n",
    "print(len(test))\n",
    "print(len(lst))\n",
    "for i in range(len(test)):\n",
    "    y_=predict(model, test[i][0])\n",
    "    y =test[i][1]\n",
    "    print(y_)\n",
    "    #predict_total+=1\n",
    "    if y==y_:\n",
    "        turu_total+=1\n",
    "print(turu_total*100/len(test),'%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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